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Identity Threat Assessment and Prediction
Author(s) -
Zaiss Jim,
Nokhbeh Zaeem Razieh,
Barber K. Suzanne
Publication year - 2018
Publication title -
journal of consumer affairs
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.582
H-Index - 62
eISSN - 1745-6606
pISSN - 0022-0078
DOI - 10.1111/joca.12191
Subject(s) - identity theft , identity (music) , variety (cybernetics) , computer security , computer science , internet privacy , data science , artificial intelligence , physics , acoustics
Identity theft and related threats are increasingly common occurrences. This paper is an overview of the Identity Threat Assessment and Prediction (ITAP) project. It describes our use of news stories to gather raw data about incidents of identity theft, fraud, and abuse. Through these news stories, we seek to determine the methods and resources used to carry out these crimes; the vulnerabilities exploited; and the consequences of these incidents. The ITAP model is a large and continually growing, structured repository of such information. There are currently about 5,000 incidents captured in the model. To this body of information, we apply a variety of analytical tools that enable us to show and compare threats, losses, and trends. We discover notable and sometimes surprising results. A goal of this project is to be able to predict future threats, and to provide some concrete guidance on how to avoid them.